Usage

This section demonstrates the most basic usage via import ipypandas.

Imports

The execution of import ipypandas enables ipypandas globally.

import numpy as np
import pandas as pd

# enables ipypandas output
import ipypandas

Options

Pandas options that will affect the ipypandas rendering.

# The numbers of rows to show in a truncated view (when max_rows is exceeded).
# Ignored when max_rows is set to None or 0. When set to None, follows the value of max_rows.
pd.set_option('display.min_rows', 10)  # [default: 10]

# If max_rows is exceeded, switch to truncate view.
# Depending on large_repr, objects are either centrally truncated or printed as a summary view.
pd.set_option('display.max_rows', 60)  # [default: 60]

# The maximum width in characters of a column in the repr of a pandas data structure.
# When the column overflows, a “…” placeholder is embedded in the output.
pd.set_option('display.max_colwidth', 50)  # [default: 50]

# Floating point output precision in terms of number of places after the decimal.
# For regular formatting as well as scientific notation.
pd.set_option('display.precision', 6)  # [default: 6]

Demos

Example data used for demo purposes.

df = pd.DataFrame(np.random.randint(1000, 9999, (1000, 5)), columns=['A', 'B', 'C', 'D', 'E'])

Running ipypandas.enable() will enable all interactive features.

ipypandas.enable()

# interactive ipypandas rendering
df

Running ipypandas.disable() will disable all interactive features.

ipypandas.disable()

# default pandas rendering
df

	A	B	C	D	E
0	1392	6625	6315	3493	8985
1	9009	5472	8538	1152	2791
2	2197	6414	9545	7302	1726
3	6017	5987	1211	9825	5930
4	1141	2724	9873	5356	6862
...	...	...	...	...	...
995	6504	4735	2473	1037	1017
996	2196	1320	7094	5414	1170
997	9552	7153	9599	8186	7339
998	9321	7489	6474	8309	5058
999	6981	8784	2888	7654	7556

1000 rows × 5 columns