python-pandasExample of using Python Pandas

import pandas as pd

df = pd.DataFrame(
  {
    "A": 1.0,
    "B": pd.Timestamp("20220102"),
    "C": pd.Series(1, index=list(range(4)), dtype="float32"),
    "E": pd.Categorical(["test", "first", "test", "second"]),
    "F": "foo"
  }
)

print(df[df['E']=="test"])ctrl + cgithub

`import pandas as pd` load Pandas module	`pd.DataFrame` creates Pandas DataFrame object
`pd.Timestamp` generates timestamp object from given date	`pd.Series` generates series of given values and given type
`pd.Categorical` generates list of categorical data (e.g. text name of category)	`df[df['E']=="test"]` pick only those `df` rows which has `E` column values equal to `test`

Usage example

import pandas as pd

df = pd.DataFrame(
  {
    "A": 1.0,
    "B": pd.Timestamp("20130102"),
    "C": pd.Series(1, index=list(range(4)), dtype="float32"),
    "E": pd.Categorical(["test", "first", "test", "second"]),
    "F": "foo"
  }
)

print(df[df['E']=="test"])

output

     A          B    C     E    F
0  1.0 2022-01-02  1.0  test  foo
2  1.0 2022-01-02  1.0  test  foo

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python-pandasExample of using Python Pandas

Usage example

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