tibble() function from DataR library creates a DataFrame in a more user-friendly way compared to the traditional pandas DataFrame constructor.¶

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1. Create dataframe using datar.tibble()

2. Convert Pandas DataFrame to DataR Tibble

In [1]:

import datar.all as dr
import pandas as pd

import datar.all as dr import pandas as pd

1. Create dataframe using datar.tibble()¶

In [5]:

tb = dr.tibble(
    x = [1, 2, 3],
    y = ["a", "b", "c"],
    z = [True, False, True]
)

print(type(tb))

tb = dr.tibble( x = [1, 2, 3], y = ["a", "b", "c"], z = [True, False, True] ) print(type(tb))

<class 'datar_pandas.tibble.Tibble'>

In [6]:

print(tb)

print(tb)

        x     y      z
  <int64> <str> <bool>
0       1     a   True
1       2     b  False
2       3     c   True

2. Convert Pandas DataFrame to DataR Tibble¶

In [7]:

df = pd.DataFrame({
    'A': [1, 2, 3],
    'B': ['x', 'y', 'z'],
    'C': [True, False, True]
})

# convert from Pan
tb_from_df = dr.tibble(df)

print(tb_from_df)

df = pd.DataFrame({ 'A': [1, 2, 3], 'B': ['x', 'y', 'z'], 'C': [True, False, True] }) # convert from Pan tb_from_df = dr.tibble(df) print(tb_from_df)

        A     B      C
  <int64> <str> <bool>
0       1     x   True
1       2     y  False
2       3     z   True