Kivy 和 matplotlib? [英] Kivy and matplotlib?

问题描述

我只是想知道 matplotlib 是否与 kivy 1.9.0 兼容，如果可能的话，我该如何实现它?如果不支持，kivy 是否有与之非常相似的东西?

I just wanted to know if matplotlib is compatible with kivy 1.9.0, and how I do I go about implementing it if it's possible? If it's isn't supported, does kivy have something very similar to it?

我希望能够在我的 kivy 应用程序中使用我的程序中的这个特定代码:

I want to able use this particular code from one my programs in my kivy app:

def printPieChart(table, column):
    if column == 6:
        columnList = table.iloc[:, -1:].values.T.ravel()
    else:
        columnList = table.iloc[:, (column - 7): (column - 6)].values.T.ravel()
    countedList = Counter(columnList)

    #set up the size of the pie chart
    fig = plt.figure(figsize=[10, 10])
    ax = fig.add_subplot(111)
    cmap = plt.cm.prism

    #input variables for pie function
    slices = [float(v) for v in countedList.values()]
    colors = cmap(np.linspace(0., 1., len(slices)))
    labels = [float(k) for k in countedList]
    columnHeaders = list(table.columns.values)

    #the pie chart
    pie_wedge_collection = ax.pie(slices, colors = colors, labels = labels, labeldistance = 1.05, autopct = '%1.1f%%')
    #get rid of the black outlines between the wedges and around the pie
    for pie_wedge in pie_wedge_collection[0]:
        pie_wedge.set_edgecolor('white')
    ax.set_title(columnHeaders[column + 1])

如果我想为 matplotlib 制作一个编译配方，会按照这些思路进行吗?

If I wanted to make a compilation recipe for matplotlib would it be along these lines?

#!/bin/bash

VERSION_matplotlib=${VERSION_matplotlib:-1.4.3}
DEPS_matplotlib=(numpy python dateutil pyparsing six linpng pytz freetype agg PyCXX qhull ttconv)
URL_matplotlib=http://pypi.python.org/packages/source/m/matplotlib/matplotlib-$VERSION_matplotlib.tar.gz
MD5_matplotlib=f43c20480a1673185afefc7d4848a1d2
BUILD_matplotlib=$BUILD_PATH/matplotlib/$(get_directory $URL_matplotlib)
RECIPE_matplotlib=$RECIPES_PATH/matplotlib

# function called for preparing source code if needed
# (you can apply patch etc here.)
function prebuild_matplotlib() {
    true
}

function shouldbuild_lxml() {
    if [ -d "$SITEPACKAGES_PATH/matplotlib" ]; then
        DO_BUILD=0
    fi
}

# function called to build the source code
function build_matplotlib() {
    cd $BUILD_matplotlib

    push_arm

    export CC="$CC -I$BUILD_numpy/"
    export LDFLAGS="-L$BUILD_numpy/numpy/.libs -L$BUILD_numpy/numpy/.libs -L$BUILD_numpy/.libs -L$BUILD_numpy/numpy -L$BUILD_numpy/numpy -L$BUILD_numpy/  $LDFLAGS"
    export LDSHARED="$LIBLINK"

    chmod +x $BUILD_numpy/numpy-config
    export PATH=$PATH:$BUILD_numpy
    #plus more for the other dependencies
    try $HOSTPYTHON setup.py build_ext -I$BUILD_matplotlib
    try find . -iname '*.pyx' -exec $CYTHON {} ;
    try $HOSTPYTHON setup.py build_ext -v
    try find build/lib.* -name "*.o" -exec $STRIP {} ;

    export PYTHONPATH=$BUILD_hostpython/Lib/site-packages
    try $BUILD_hostpython/hostpython setup.py install -O2 --root=$BUILD_PATH/python-install --install-lib=lib/python2.7/site-packages

    unset LDSHARED
    pop_arm
}

# function called after all the compile have been done
function postbuild_matplotlib() {
    true
}

推荐答案

你可以像往常一样从 kivy 脚本调用 matplotlib，但是 kivy 没有内置的方式来显示绘图 - 你必须得到matplotlib 来渲染它们(例如 png，或者你可以尝试 kivy 的实验性 svg 支持，但它可能有问题)然后在 Image 小部件或类似部件中显示它们.

You can call matplotlib from a kivy script fine, exactly as you normally would, but kivy has no built in way to display plots - you'd have to get matplotlib to render them (e.g. as png, or you could try kivy's experimental svg support but it might be buggy) then display them in an Image widget or similar.

如果您想在 android 或 ios 上执行此操作，则需要 matplotlib 的编译配方，因为我认为我们还没有.我认为这应该不会太难，如果您有兴趣，我们很乐意讨论.

If you want to do this on android or ios, you'd need a compilation recipe for matplotlib, as I don't think we have one yet. I think that shouldn't be too hard and we'd be happy to discuss if if you're interested.

我们确实有一个 GSoC 学生正在努力为我们提供适当的 matplotlib 支持，所以在接下来的几个月里可能会有好消息.

We do have a GSoC student working on giving us proper matplotlib support, so there may be good news on it in the next few months.

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