Note
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Writing data to RDA and RDS files#
An example showing how to write dataframes to RDA and RDS files.
# sphinx_gallery_thumbnail_path = '_static/R_logo.svg'
Let’s import Pandas to create dataframe and rdata to write to file.
import pandas as pd
import rdata
Let’s create a toy dataframe
data = pd.DataFrame({
"class": pd.Categorical(["a", "b", "b"]),
"value": [1, 2, 3],
})
data
Let’s write this dataframe to an RDS file.
rdata.write_rds("data.rds", data)
By default, the file is written in a binary XDR format with gzip compression. We can write the file in different formats and compressions too.
rdata.write_rds("data_uncompressed.rds", data, compression=None)
rdata.write_rds("data_ascii.rds", data, file_format="ascii", compression=None)
We can also write multiple variables with given names to an RDA file.
df1 = pd.DataFrame({
"class": pd.Categorical(["a", "b", "b"]),
"value": [1, 2, 3],
})
df2 = pd.DataFrame({
"color": ["red", "green", "blue"],
"count": [12, 34, 56],
})
data_dict = {"df1": df1, "df2": df2}
rdata.write_rda("data.rda", data_dict)
Total running time of the script: (0 minutes 0.016 seconds)