Conda install matplotlib=3.0.2 upgrade#
0 # Supercharged components pip install plotly - upgrade # Plotly graphing library # Install P圜RS (v. 0 # HTML components pip install dash - core - components = 0.14. 1 # The dash front-end pip install dash - html - components = 0.8. 0 # The core dash backend pip install dash - renderer = 0.11. 0.12.0) -> bundled with simplejson conda install - c conda - forge rasterstats # Install Dash using Pip pip install dash = 0.19.
0.36) -> bundled with attrs conda install - c conda - forge rasterio # Install Rasterstats (v. # Install numpy (v 1.13.1) conda install numpy # Install pandas (v 0.20.3) -> bundled with python-dateutil (v 2.6.1) and pytz (v 2017.2) conda install pandas # Install scipy (v 0.19.1) conda install scipy # Install matplotlib (v 2.0.2) -> bundled with cycler, freetype, icu, jpeg, libpng, pyqt, qt, sip, sqlite, tornado, zlib conda install matplotlib # Install scikit-learn (v 0.19.0) conda install scikit - learn # Install networkx (v 1.11) -> bundled with decorator (v 4.1.2) conda install networkx # Install bokeh (v 0.12.9) -> bundled with jinja2, markupsafe, pyyaml, yaml -packages conda install bokeh # Install statsmodels (v 0.8.0) -> bundled with patsy (0.4.1) conda install statsmodels # Install PySpark (v 2.2.0) -> bundled with py4j (v 0.10.6) conda install pyspark # Install Geopandas (v 0.3.0) -> bundled with click, click-plugins, cligj, curl, descartes, expat, fiona, freexl, gdal, geos, hdf4, hdf5, kealib, krb5, libiconv, libnetcdf, libpq, libspatialindex, libspatialite, libtiff, libxml2, munch, openjpeg, pcre, proj4, psycopg2, pyproj, pysal, rtree, shapely, sqlalchemy, xerces-c conda install - c conda - forge geopandas # Install cartopy (v 0.15.1) -> bundled with libxslt, lxml, olefile, owslib, pillow, pyepsg, pyshp conda install - c conda - forge cartopy # Install geoplot (v 0.0.4) using pip (on Linux: be sure to use pip that comes with conda distribution!) -> bundled with seaborn pip install geoplot # Install osmnx (v 0.5.4) -> bundled with altair, bleach, branca, colorama, entrypoints, folium, geopy, html5lib, ipykernel, ipython, ipython_genutils, jedi, jsonschema, jupyter_client, jupyter_core, mistune, nbconvert, nbformat, notebook, pandoc, pandocfilters, pickleshare, prompt_toolkit, pygments, pyzmq, simplegeneric, testpath, traitlets, vega, vincent, wcwidth, webencodings conda install - c conda - forge osmnx # Install Folium (v 0.5.0) -> bundled with altair, vega conda install - c conda - forge folium # Install Rasterio (v. Alternative way to install if typical doesn’t work.
Conda install matplotlib=3.0.2 how to#
How to find out which conda -command to use when installing a package?.
If matplotlib is successfully installed, the version of matplotlib installed will be displayed. To verify that matplotlib is successfully installed on your system, execute the following command in the command prompt. Step 3 − Check if it is installed successfully Once done, the message of successful installation will be displayed. This command will start downloading and installing packages related to the matplotlib library. The following command is run in the command prompt to install Matplotlib. The version of pip will be displayed, if it is successfully installed on your system. If python is successfully installed, the version of python installed on your system will be displayed. Type the following commands in the command prompt to check is python and pip is installed on your system. Step 1 − Make sure Python and pip is preinstalled on your system To use matplotlib, we need to install it. It is used in data visualization and graphical plotting. Matplotlib is a Python library that helps to plot graphs.
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