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shahzaneershahzaneer
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Diff for: ‎.ipynb_checkpoints/Series 1D arrays -checkpoint.ipynb

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Diff for: ‎.ipynb_checkpoints/Series Manipulation-checkpoint.ipynb

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{
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}

Diff for: ‎.ipynb_checkpoints/filtering series-checkpoint.ipynb

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{
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}

Diff for: ‎.ipynb_checkpoints/firstpanda-checkpoint.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "6b5222e4",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "daae5aa6",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0 1\n",
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"1 2\n",
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"2 3\n",
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"3 4\n",
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"4 5\n",
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"5 6\n",
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"6 7\n",
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"dtype: int64"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"a = pd.Series([1,2,3,4,5,6,7])\n",
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"a"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "189bfb0b",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"1.3.4\n"
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]
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}
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],
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"source": [
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"print(pd.__version__) #to discover the version of pandas!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bc1682ee",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

Diff for: ‎.ipynb_checkpoints/series attributes-checkpoint.ipynb

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{
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}

Diff for: ‎.ipynb_checkpoints/series sorting-checkpoint.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "07417a66",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0 7\n",
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"1 4\n",
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"2 9\n",
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"3 2\n",
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"4 1\n",
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"dtype: int64"
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]
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},
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import pandas as pd\n",
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"obj1 = pd.Series([7,4,9,2,1])\n",
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"obj1"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "46589501",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"4 1\n",
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"3 2\n",
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"1 4\n",
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"0 7\n",
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"2 9\n",
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"dtype: int64"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"obj1.sort_values() #it will sort according to the values"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "b8f302ab",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"2 9\n",
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"0 7\n",
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"1 4\n",
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"3 2\n",
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"4 1\n",
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"dtype: int64"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"obj1.sort_values(ascending = False) #it will sort in the descending order!"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "a15b3a63",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0 7\n",
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"1 4\n",
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"2 9\n",
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"3 2\n",
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"4 1\n",
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"dtype: int64"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"obj1.sort_index() #ascending order main indexes hojayengay sort (jo normally hota hai series main)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "fd5a8c5b",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"4 1\n",
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"3 2\n",
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"2 9\n",
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"1 4\n",
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"0 7\n",
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"dtype: int64"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"obj1.sort_index(ascending = False) #descending order main indexes k hisaab se sorting hojayegi"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "35629b57",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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