Answers for "pandas.dataframe"

dataframe create

>>> df2 = pd.DataFrame(np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]),
...                    columns=['a', 'b', 'c'])
>>> df2
   a  b  c
0  1  2  3
1  4  5  6
2  7  8  9

create dataframe panndas

import pandas as pd

data = {'First Column Name':  ['First value', 'Second value',...],
        'Second Column Name': ['First value', 'Second value',...],
         ....
        }

df = pd.DataFrame (data, columns = ['First Column Name','Second Column Name',...])

print (df)

pd dataframe

df = pd.DataFrame ({"x": x_array, "y": y_array})

data frame

>>> data = np.array([(1, 2, 3), (4, 5, 6), (7, 8, 9)],
...                 dtype=[("a", "i4"), ("b", "i4"), ("c", "i4")])
>>> df3 = pd.DataFrame(data, columns=['c', 'a'])
...
>>> df3
   c  a
0  3  1
1  6  4
2  9  7

pandas

#for dropping a column in a dataframe
df = df.drop(['PassengerId'], axis = 1)

#for selecting all columns except one
df.iloc[:, df.columns != "Survived"]

#for checking nan values is a column
df['your column name'].isnull()

pandas, python, dataframes

mylist = df.index