Installa Tkagg :: orthomed.org
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I am using Ubuntu 16.04 with Python 3. Using APT to install python3-matplotlib and then printing the matplotlib backend gives TKAgg, which is expected because Ubuntu has 16.04 has python3-tk installed. This is done by running: sudo apt install python3-matplotlib python3 -c 'import matplotlib as mpl; printmpl.get_backend'. Io sono in una condizione simile con voi. Io sono su Mac OS X, utilizzando anaconda, python, “TkAgg” backend, il messaggio di errore è lo stessoQuando eseguo lo script, che non si è bloccato. Other python interpreters¶. If you can't use ipython, and still want to use matplotlib/pylab from an interactive python shell, e.g., the plain-ole standard python interactive interpreter, you are going to need to understand what a matplotlib backend is What is a backend?. With the TkAgg backend, which uses the Tkinter user interface toolkit, you can use matplotlib from an arbitrary non-gui.

Matplotlib backend moduli mancanti con un carattere di sottolineatura. Sto usando matplotlib per qualche tempo senza problemi. E ‘ stato un po da quando ho avuto bisogno interattiva trama funzioni per il quale Tkaag è stato utilizzato. ImportError: Cannot load backend 'TkAgg' which requires the 'tk' interactive framework, as 'headless' is currently running. The errors you posted are unrelated. The first one is due to you selecting a backend that is not meant for interactive use, i.e. agg. You can still use and should use those for the generation of plots in scripts that don’t require user interaction. Could not find a version that satisfies the requirement TKAgg from versions:. 3 Install matplotlib: There are certain dependencies needed to be installed for matplotlib working correctly. But these are no more our concern. The distribute package will check for dependencies and install it automatically. We just have to run this command –.

When viewing this documentation and examples, you will find different coding styles and usage patterns. These styles are perfectly valid and have their pros and cons. Just about all of the examples can be converted into another style and achieve the same results. The only caveat is to avoid mixing the coding styles for your own code. Matplotlib strives to produce publication quality 2D graphics for interactive graphing, scientific publishing, user interface development and web application servers targeting multiple user. Since we are creating a bitcoin trading application, it only makes sense that we're going to have to incorporate some price data. Not only do we want to just plot the prices, but many people will want to see prices in the form of OHLC candlesticks, and then others will also want to see various indicators like EMA/SMA crossovers and things like RSI or MACD.

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