df.value_counts to dataframe
df = df.value_counts().rename_axis('unique_values').reset_index(name='counts')
print (df)
unique_values counts
0 2 3
1 1 2df.value_counts to dataframe
df = df.value_counts().rename_axis('unique_values').reset_index(name='counts')
print (df)
unique_values counts
0 2 3
1 1 2count values pandas
>>> index = pd.Index([3, 1, 2, 3, 4, np.nan])
>>> index.value_counts()
3.0 2
4.0 1
2.0 1
1.0 1
dtype: int64plot value counts pandas
df.letters.value_counts().sort_values().plot(kind = 'barh')pandas count values by column
df = pd.DataFrame({'a':list('abssbab')})
df.groupby('a').count()relativefrequencies of the unique values pandas
df.value_counts(normalize=True)pandas count
>>> df.set_index(["Person", "Single"]).count(level="Person")
Age
Person
John 2
Lewis 1
Myla 1Copyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
