rounding values of pandas dataframe
df['DataFrame column'].round(decimals=number of decimal places needed)
rounding values of pandas dataframe
df['DataFrame column'].round(decimals=number of decimal places needed)
pandas decimal places
# (1) Round to specific decimal places – Single DataFrame column
df['DataFrame column'].round(decimals=number of decimal places needed)
# (2) Round up – Single DataFrame column
df['DataFrame column'].apply(np.ceil)
# (3) Round down – Single DataFrame column
df['DataFrame column'].apply(np.floor)
# (4) Round to specific decimals places – Entire DataFrame
df.round(decimals=number of decimal places needed)
pandas round column
#Option 1
In [661]: df.round({'Y': 2, 'X': 2})
Out[661]:
Y X id WP_NER
0 35.97 -2.73 1 WP_01
1 35.59 -2.90 2 WP_02
2 35.33 -3.39 3 WP_03
3 35.39 -3.93 4 WP_04
4 35.58 -3.94 5 WP_05
5 35.52 -3.41 6 WP_06
6 35.76 -3.08 7 WP_07
#Option 2
In [662]: cols = ['Y', 'X']
In [663]: df[cols] = df[cols].round(2)
how to round off values in columns in pandas in excel
df['DataFrame column'].round(decimals=number of decimal places needed)
pandas groupby mean round
data.mean().round(0) # Rounds mean to nearest integer, e.g. 1.95 = 2 and 1.05 = 1
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