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Code: Alles auswählen

# import the module
import pandas as pd
 
# creating a DataFrame
df = pd.DataFrame({'String 1' :['Tom', 'Nick', 'Krish', 'Jack'],
                   'String 2' :['Jane', 'John', 'Doe', 'Mohan']})
 
# function for prepending 'Geek'
def prepend_geek(name):
    return 'Geek ' + name
 
# executing the function
df[["String 1", "String 2"]] = df[["String 1",
                                   "String 2"]].apply(prepend_geek)
 
# displaying the DataFrame
print(df)

Code: Alles auswählen

from numerize import numerize
import pandas as pd 
 

d=[[623232323276, 98234242265], [5656565323, 438878787232]]
z=[6232323232.76, 98234242265]

df = pd.DataFrame({"a":[623232323276, 98234242265],
                   "b": [5656565323, 438878787232]})
df3=df.copy()

def makereadable(x):
    return numerize.numerize(x)

df["a"] = df["a"].apply(makereadable)
df["b"] = df["b"].apply(makereadable)

print(df)


df3[["a","b"]] = df3[["a","b"]].apply(makereadable)
print(df3)

Code: Alles auswählen

In [58]: df
Out[58]: 
  String 1 String 2
0      Tom     Jane
1     Nick     John
2    Krish      Doe
3     Jack    Mohan

In [59]: "Geek " + df
Out[59]: 
     String 1    String 2
0    Geek Tom   Geek Jane
1   Geek Nick   Geek John
2  Geek Krish    Geek Doe
3   Geek Jack  Geek Mohan