Python pandas

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  9

Source: pandas.pydata.org

Panda 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:\<path\to\python\directory\>\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:\path\to\new\environment
# then execute:
c:\path\to\new\environment\Scripts\activate.bat

Pandas dataframe

d = {'col1': [1, 2], 'col2': [3, 4]}
>>> df = pd.DataFrame(data=d)
>>> df
   col1  col2
0     1     3
1     2     4

Source: pandas.pydata.org

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

Python pandas

import speech_recognition as sr
r = sr.Recognizer()
with sr.Microphone() as source:                # use the default microphone as the audio source
    audio = r.listen(source)                   # listen for the first phrase and extract it into audio data

try:
    print("You said " + r.recognize(audio))    # recognize speech using Google Speech Recognition
except LookupError:                           # speech is unintelligible
    print("Could not understand audio")

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