5d906c0dc01ecac8102195cec0dc922da2b91ac0,lib/streamlit/VegaLiteChart.py,,,#,56

Before Change




// See https://vega.github.io/vega-lite/docs/encoding.html
_ENCODINGS = set([
    "x",
    "y",
    "x2",
    "y2",
    "longitude",
    "latitude",
    "color",
    "opacity",
    "size",
    "shape",
    "text",
    "tooltip",
    "href",
    "key",
    "order",
    "detail",
    "row",
    "column",
])


// TODO: Figure out how to make this work with layers
def unflatten(flat_dict):

After Change


// Python 2/3 compatibility
from __future__ import print_function, division, unicode_literals, absolute_import
from streamlit.compatibility import setup_2_3_shims
setup_2_3_shims(globals())

import json
import pandas as pd
import sys
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 6

Instances


Project Name: streamlit/streamlit
Commit Name: 5d906c0dc01ecac8102195cec0dc922da2b91ac0
Time: 2018-08-14
Author: thiagot@gmail.com
File Name: lib/streamlit/VegaLiteChart.py
Class Name:
Method Name:


Project Name: streamlit/streamlit
Commit Name: 65d5f3c1e54f19dd20a186adcb7af89bc77b60bd
Time: 2018-08-16
Author: thiagot@gmail.com
File Name: lib/streamlit/VegaLiteChart.py
Class Name:
Method Name:


Project Name: streamlit/streamlit
Commit Name: af39075a43abd1797b7e0666456d989548363f92
Time: 2018-08-13
Author: thiagot@gmail.com
File Name: lib/streamlit/VegaLiteChart.py
Class Name:
Method Name: