Tag: Pandas

Snippet 1 df = pd.DataFrame(np.arange(12).reshape(3, 4), … columns=[‘A’, ‘B’, ‘C’, ‘D’]) >>> df A B C D 0 0 1 2 3 1 4 5 6 7 2 8 9 10 11 Drop columns >>> df.drop([‘B’, ‘C’], axis=1) A D 0 0 3 1 4 7 2 8 11 >>> df.drop(columns=[‘B’, ‘C’]) A D 0… Continue reading Python Pandas Drop Code Example

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movie_award_2022.drop([‘title’,’movie_id’], axis=1, inplace=True) # drop duplicate columns source cs3 = cs2.drop([‘Gender’,’Education’,’Occupation’,’Region’,’Rented_OwnHouse’],axis = 1) cs3.drop([‘Good_Bad’],axis = 1, inplace = True) cs3 source #Drop missing data df2.dropna() source # drop missing vallues gobike_df = gobike_df.dropna() source Copyright © Code Fetcher 2022    

Snippet 1 import sys if sys.version_info[0] < 3: from StringIO import StringIO else: from io import StringIO import pandas as pd TESTDATA = StringIO("""col1;col2;col3 1;4.4;99 2;4.5;200 3;4.7;65 4;3.2;140 """) df = pd.read_csv(TESTDATA, sep=";") Similar Snippets Pandas Dataframe Froms String Code Example - pandas Combine Two Dataframe In Pandas Code Example - pandas Pandas Frame Convert… Continue reading Pandas Dataframe Froms String Code Example

Snippet 1 | id | name | country01 | sort01 | country02 | sort02 | country03 | sort03 | | 1 | Foo | USA | 1 | Japan | 2 | China | 3 | | 2 | Bar | USA | 1| UK | 3 | France | 4 | | 3 |… Continue reading Pandas Dataframe To Change Data To Horizontally Code Example

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Snippet 1 # import pandas library import pandas as pd    # dictionary with list object in values details = {     ‘Name’ : [‘Ankit’, ‘Aishwarya’, ‘Shaurya’,               ‘Shivangi’, ‘Priya’, ‘Swapnil’],     ‘Age’ : [23, 21, 22, 21, 24, 25],     ‘University’ : [‘BHU’, ‘JNU’, ‘DU’, ‘BHU’,                      ‘Geu’, ‘Geu’], }    # creating a Dataframe object  df = pd.DataFrame(details,… Continue reading Pandas Drop Rows With Condition Code Example

Snippet 1 df[‘Cat1’].fillna(df[‘Cat2’]) Copyright © Code Fetcher 2020    

Snippet 1 df[‘col1’] = np.where(df[‘col1’] == 0, df[‘col2’], df[‘col1’]) df[‘col1’] = np.where(df[‘col1’] == 0, df[‘col3’], df[‘col1’]) Snippet 2 data[‘result’] = data[‘result’].map(lambda x: x.lstrip(‘+-‘).rstrip(‘aAbBcC’)) Copyright © Code Fetcher 2020    

Snippet 1 df[‘DataFrame Column’] = pd.to_numeric(df[‘DataFrame Column’]) Copyright © Code Fetcher 2020    

Snippet 1 In [12]: df.groupby([“item”, “color”])[“id”].count().reset_index(name=”count”) Out[12]: item color count 0 car black 2 1 truck blue 1 2 truck red 2 Copyright © Code Fetcher 2020