Module pandas_profiling.report.structure.variables.render_date
Expand source code
from pandas_profiling.config import config
from pandas_profiling.visualisation.plot import mini_histogram, histogram
from pandas_profiling.report.presentation.core import (
Image,
Sequence,
Table,
VariableInfo,
)
def render_date(summary):
# TODO: render common?
template_variables = {}
image_format = config["plot"]["image_format"].get(str)
# Top
info = VariableInfo(
summary["varid"], summary["varname"], "Date", summary["warnings"]
)
table1 = Table(
[
{
"name": "Distinct count",
"value": summary["n_unique"],
"fmt": "fmt",
"alert": False,
},
{
"name": "Unique (%)",
"value": summary["p_unique"],
"fmt": "fmt_percent",
"alert": False,
},
{
"name": "Missing",
"value": summary["n_missing"],
"fmt": "fmt",
"alert": False,
},
{
"name": "Missing (%)",
"value": summary["p_missing"],
"fmt": "fmt_percent",
"alert": False,
},
{
"name": "Memory size",
"value": summary["memory_size"],
"fmt": "fmt_bytesize",
"alert": False,
},
]
)
table2 = Table(
[
{"name": "Minimum", "value": summary["min"], "fmt": "fmt", "alert": False},
{"name": "Maximum", "value": summary["max"], "fmt": "fmt", "alert": False},
]
)
mini_histo = Image(
mini_histogram(summary["histogram_data"], summary, summary["histogram_bins"]),
image_format=image_format,
alt="Mini histogram",
)
template_variables["top"] = Sequence(
[info, table1, table2, mini_histo], sequence_type="grid"
)
# Bottom
bottom = Sequence(
[
Image(
histogram(
summary["histogram_data"], summary, summary["histogram_bins"]
),
image_format=image_format,
alt="Histogram",
caption="Histogram",
name="Histogram",
anchor_id="{varid}histogram".format(varid=summary["varid"]),
)
],
sequence_type="tabs",
anchor_id=summary["varid"],
)
template_variables["bottom"] = bottom
return template_variables
Functions
def render_date(summary)
-
Expand source code
def render_date(summary): # TODO: render common? template_variables = {} image_format = config["plot"]["image_format"].get(str) # Top info = VariableInfo( summary["varid"], summary["varname"], "Date", summary["warnings"] ) table1 = Table( [ { "name": "Distinct count", "value": summary["n_unique"], "fmt": "fmt", "alert": False, }, { "name": "Unique (%)", "value": summary["p_unique"], "fmt": "fmt_percent", "alert": False, }, { "name": "Missing", "value": summary["n_missing"], "fmt": "fmt", "alert": False, }, { "name": "Missing (%)", "value": summary["p_missing"], "fmt": "fmt_percent", "alert": False, }, { "name": "Memory size", "value": summary["memory_size"], "fmt": "fmt_bytesize", "alert": False, }, ] ) table2 = Table( [ {"name": "Minimum", "value": summary["min"], "fmt": "fmt", "alert": False}, {"name": "Maximum", "value": summary["max"], "fmt": "fmt", "alert": False}, ] ) mini_histo = Image( mini_histogram(summary["histogram_data"], summary, summary["histogram_bins"]), image_format=image_format, alt="Mini histogram", ) template_variables["top"] = Sequence( [info, table1, table2, mini_histo], sequence_type="grid" ) # Bottom bottom = Sequence( [ Image( histogram( summary["histogram_data"], summary, summary["histogram_bins"] ), image_format=image_format, alt="Histogram", caption="Histogram", name="Histogram", anchor_id="{varid}histogram".format(varid=summary["varid"]), ) ], sequence_type="tabs", anchor_id=summary["varid"], ) template_variables["bottom"] = bottom return template_variables