pandas dataframe
>>> 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 9pandas dataframe
>>> 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 9pandas dataframe
d = {'col1': [1, 2], 'col2': [3, 4]}
>>> df = pd.DataFrame(data=d)
>>> df
col1 col2
0 1 3
1 2 4panda python
# install pandas (basic, if path is not set yet)
py -m pip install pandas
# or set PATH to use pip:
setx PATH "%PATH%;C:<pathtopythondirectory>Scripts"
pip install pandas
# if "connection error: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed" [!]:
py -m pip install --trusted-host pypi.python.org pip pandas
# if PermissionError: [WinError 5] Access is denied
py -m pip install --user pandas
# or via creating a virtual environment venv:
py -m venv c:pathtonewenvironment
# then execute:
c:pathtonewenvironmentScriptsactivate.batpandas
#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 tutorial
df = pd.read_csv('purchases.csv')
dfCopyright © 2021 Codeinu
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