ggplotly/__init__.py,sha256=ysgvnPbwmlTIfvvnopK2GZAjY9R6EJnJqKeVSRuGVgQ,4866
ggplotly/aes.py,sha256=uNbfO_zLM5g_fEoSh2lSkNiDC36oKqqeia4N6X0ftYY,8615
ggplotly/aesthetic_mapper.py,sha256=6ZhABgqu0lTY70SJBCOU4rnndfLnh5fOwgQ6o1UZ7_g,20571
ggplotly/constants.py,sha256=SQeR5OMZ11oZBwRoVJQo_1fkChXp3S0Y-d7kk1Fg4ZE,1307
ggplotly/data_utils.py,sha256=aDTHmJed7gmO25Q-gK3BnSwAMzY51Rj2gu8Gcb2wtFk,7484
ggplotly/datasets.py,sha256=8Xm-cQvubwwYiJ_q-yJ8I1X4qGpw_NRkbyM3OtPY_Cw,2787
ggplotly/exceptions.py,sha256=xWqXWQcWQrPNc54GXhNvtzS7f9Kf2qp5MQLeZBHHiNg,5485
ggplotly/facets.py,sha256=EEzc5oMXguKhDg-aAKgdFwdTdTuSKEw2D5rotNh-LCc,28700
ggplotly/ggplot.py,sha256=YCgMDG5bmhh6MsqlAc-6aPThHfS_o5nqCnj17-46PfI,13878
ggplotly/ggtitle.py,sha256=JZM6dOrtc6gqgMpvHNKjbZh0fQauyyK62sTKz_dPb4I,436
ggplotly/guides.py,sha256=rPZ5MfQL_S6K_494u_7devzcScJf8vkVgaUw37vCIWA,25939
ggplotly/layer.py,sha256=49KQEEXlwaUWl1CZl6fvCphlzwl_zrTIkyTh0_b8QEQ,18086
ggplotly/limits.py,sha256=I4c6dB7O3fgmWOqj9fv_WCMiyFgGilrPrx3zcrgnj1Y,3066
ggplotly/map_data.py,sha256=nMfqy_p4G5GjCahH_A-MN0R66tFW1n-eQe76RmPqmis,4254
ggplotly/positions.py,sha256=aXmTLqkI1xEmcChSL0hzytEH6rsZtG9nNZ83ZmzOSUM,15117
ggplotly/themes.py,sha256=9gVzP3iqPScGFiKWF26QD-MBS8bvB6gvcEy9IIsnbfc,34576
ggplotly/trace_builders.py,sha256=cOdMz22cvnAuxLjkks6VGnzJcS38xjUPMgpfQgetQjA,27723
ggplotly/utils.py,sha256=foNX7hDfyj3AG4tfsRwSQOZnjNSJdeBWsAsyIzWcJyA,3587
ggplotly/coords/__init__.py,sha256=Nxmw_-c_NxOsxv4SY_5P_hFENhUpa920ehNIKYB8-ek,333
ggplotly/coords/coord_base.py,sha256=LCsLYsWQDpOm5GL3SXw3EHHWXY5AplpTTsEEYpAmPOY,1077
ggplotly/coords/coord_cartesian.py,sha256=4WtA_eD-TK6oYLx4SGjXdapDsVCUISGq4197gp5gomc,3736
ggplotly/coords/coord_fixed.py,sha256=lD5DspvSgWjF6Mc04RTb8CTXDPAtCXVFLespWuv00fI,4072
ggplotly/coords/coord_flip.py,sha256=jXiM7QUPFKw2Ued8NBn91Q3X2t0R36OTkwSsN-DX_sY,3729
ggplotly/coords/coord_polar.py,sha256=wKbbGtMU40hinkJ2ffLrlkkORU0V9_5ZVl1LjbJDxIg,7199
ggplotly/coords/coord_sf.py,sha256=mxkp7wabIY3OQsogL0WCocu6iEZriCUCh5kdvviFs4k,11291
ggplotly/data/commodity_prices.csv,sha256=1UMdOyDj3rcnMDOsBLyGm3wTuMSWM2komHHt3DCzIG4,15599970
ggplotly/data/diamonds.csv,sha256=DnFkeZRoKZ-NwJsAbPOWxDcXw9xx-UfwoyzG4ZmJW0Y,2571905
ggplotly/data/economics.csv,sha256=C7Ph5eXrmd6hM58Wc2ZV-0bgW3_kK-ycYLXwFhKZyMM,23477
ggplotly/data/economics_long.csv,sha256=8tJhh-bNKsKSiOLLCkjEsM18UPzssKsnu55bo6xoH-Y,122754
ggplotly/data/faithfuld.csv,sha256=AXH8DOtkUwGceIFJfYzNeF_rrYBK29WPYE6jYdeoaAA,314650
ggplotly/data/iris.csv,sha256=nMHDRccbzJtIa3TL9gY_pm9LteD2A6Szw0cewuXo41U,3858
ggplotly/data/luv_colours.csv,sha256=0HOrdvLAyAV3euyDpbmTNQ9KWCFr-cRU5bDkHimDuLU,40431
ggplotly/data/midwest.csv,sha256=cUYDD-TGIgZJxlDkSpXcbvufkjpTeI6T6cz9V-rAqKc,95420
ggplotly/data/mpg.csv,sha256=07QmSJvAO7uWyTdssYaaYWaWPRi3u39lgziKoFsncl4,13216
ggplotly/data/msleep.csv,sha256=En8Ppiura2pFE5kwZDIJORDDxKQC2K9vE2slXwbaY-s,5809
ggplotly/data/mtcars.csv,sha256=SMUs5TA_Cr5uZized1zs26h-EZgpQflNb3jtuZTDbKU,1752
ggplotly/data/presidential.csv,sha256=gZwMIRiIZTFd71_-028fjNT2ApzDdzU5AhWey9YVr2M,499
ggplotly/data/seals.csv,sha256=WT2duFPl_9uaxNOwrVE3bjgXTU81F75N5zoTVrOUAaQ,56981
ggplotly/data/txhousing.csv,sha256=SwW44tDM2PmjppYPuRAgqM6LojuJr7C041MalSBi8wo,574321
ggplotly/data/us_flights_edges.csv,sha256=15IJChv8SaF1u_9e4HLvOLbyOBtVRZOMR3vyzcEjb_E,19404
ggplotly/data/us_flights_nodes.csv,sha256=WLoFpoLGcrtA9Ix7G268mwwZkkr2BOdaEOWql01Ni6g,18863
ggplotly/geoms/__init__.py,sha256=A-yNY4AKthEi4LYvpJWPNu0Z-LorOm67HMeb5fMAcm4,2547
ggplotly/geoms/geom_abline.py,sha256=vKcwaCImUpqPnZXhJkQ5BFvi3mGsjgg2Ajg9_GN9Jjc,3468
ggplotly/geoms/geom_acf.py,sha256=O_-eDD2h9e7-Kwaw3104FhhhORfib4-TQJS4t-xwo8M,4011
ggplotly/geoms/geom_area.py,sha256=B7TaXbGa70IwZpmXSrOc_kK5zUig3Y-nfOWW76MSu-k,3193
ggplotly/geoms/geom_bar.py,sha256=1Bi4ZHSsQj70TdtyoGrV8Y9iU_D3ax0NZKrjqW15yOE,3511
ggplotly/geoms/geom_base.py,sha256=ruf0ybWKrCvKlXzp9XH9Hrni08Qd43JUoRJp7ObNeR0,20930
ggplotly/geoms/geom_boxplot.py,sha256=gr85mrkP6ir9FBRK3icNsh-sALKY__kaBjWFkrVjH4E,5985
ggplotly/geoms/geom_candlestick.py,sha256=HnFqLpTSCIWn-J2J4bxJe7tTsw2WHalduAIdexWSgIo,8963
ggplotly/geoms/geom_col.py,sha256=xmDJUUwZhZ89VMZo49_9dvQ2C1eIw7zgyb5iU_FNf34,2257
ggplotly/geoms/geom_contour.py,sha256=PezuW_JDH4GJUv2GZu5sdHRwqtjKs8eR4NXFbLW1xfA,3945
ggplotly/geoms/geom_contour_filled.py,sha256=eC_Ii4QUAVlNb17Io4F0sxQAk2csFyurDOzpZWDXA_k,4007
ggplotly/geoms/geom_density.py,sha256=OzGDK5u-MM1w0c0fFvXw3SiQl-sMWt0PKhlO4RMwTlk,7781
ggplotly/geoms/geom_edgebundle.py,sha256=YKYaKH3CITuxJ0tNGVxBvVQxad3-xnp3CbpUZa_W26k,16387
ggplotly/geoms/geom_errorbar.py,sha256=E2JOttnsVNgZHvRBiH3QmTrDNuMa2DY09nLl9gcopZQ,4990
ggplotly/geoms/geom_fanchart.py,sha256=aUCaszAfn19vyxszoAwz3DvxF7VR97qany6WlCUgp-s,6846
ggplotly/geoms/geom_histogram.py,sha256=Grf6u2IOFP3sn7xSMe7MN1_VmpSaBl50pPk5RDNCXCU,11542
ggplotly/geoms/geom_hline.py,sha256=EDLUZJYdzByYKzjicrE9lrjc4EtdgDxBgabdDPzvcYs,2192
ggplotly/geoms/geom_jitter.py,sha256=ci2Ai9qRQ9AfKHc0W9HauQeoAR-OlbmqPRVv-eN_D4I,11357
ggplotly/geoms/geom_label.py,sha256=T0hdBQ5HxTcDOjJ_MpzAk3RRLdUSOr9EUNeWp7HeW9Y,9462
ggplotly/geoms/geom_line.py,sha256=fLrZeCml_qY_80iEB4uIGiP9scYM5sgbSK7_grvT3BE,3298
ggplotly/geoms/geom_lines.py,sha256=9MPt78Vw0iGWVTLFilvHOXqrigpukpneCDq4p6rE8fo,5775
ggplotly/geoms/geom_map.py,sha256=HvyLcWPTOknWgbbDbG8M9_TbwqmR6uAy95VApSWy8f0,27486
ggplotly/geoms/geom_norm.py,sha256=LqwtKI7yi8jX1Fu8zgq7RmBY9bJcZvdbCSpi_Y7m6_w,4796
ggplotly/geoms/geom_pacf.py,sha256=2cQZ-SozGb04y0qGD5l9AmWvzTaH6KU8yKp-hQkK7Xc,4236
ggplotly/geoms/geom_path.py,sha256=sRUMnVn166Jwvn9Ve-84H2PrB1l2F5KwDFu2s4Diix8,3485
ggplotly/geoms/geom_point.py,sha256=_r1tqwugfe1j9y4CH6QPYerkOv7kLD-eUFk8i45ktXc,6122
ggplotly/geoms/geom_point_3d.py,sha256=nh0cUXIg8ieNPdkdEp0JHWR5Ip8EGMufdJbwc9Od4Jg,13173
ggplotly/geoms/geom_qq.py,sha256=I3l4LroxPv6pI3rM8b1hRdGQxi4tJWPpd981pvxfE98,4022
ggplotly/geoms/geom_qq_line.py,sha256=WlWb4xtihxIYx6VXhdTVVtIYNWVf_ja0n7m2QFSG-ZE,4783
ggplotly/geoms/geom_range.py,sha256=QFis7N7OyUFvMfQBb-ZjTxiypy6ATUpUIeF4J14vKNI,15904
ggplotly/geoms/geom_rect.py,sha256=6oELPDSIZ_oNTzZuVi_kswHvIVPQI2G-vHtzTIM3Wuc,7478
ggplotly/geoms/geom_ribbon.py,sha256=UqVT9976QU7h803ijIyuHJnyGt-5ByJR0hUi6u4j_tM,3818
ggplotly/geoms/geom_rug.py,sha256=Y_pbUCHCWLooZEVrr3kc8n3z40JmB1dPbNLvSxB0N7k,6717
ggplotly/geoms/geom_sankey.py,sha256=-7BAzHwVHOkgh9oqt8Y8gXLxBcEGuzyWR6NCEqFuXX0,8811
ggplotly/geoms/geom_searoute.py,sha256=RvtyTau7sKrBWiZNeZ8JpFueFk7_3pAIq_AEMy6Pb2A,16025
ggplotly/geoms/geom_segment.py,sha256=nPRi5l0rxmKMvLQX6eZx63lRY2u6N_35JQ3AJBCrnp0,6020
ggplotly/geoms/geom_smooth.py,sha256=3IbLbqqTYJpDtv8te7yL4S9oT4RBC0eqFcScwUKVNKo,8894
ggplotly/geoms/geom_step.py,sha256=wtR7Zm3ePK1zjFvjZw_r8HCYzp4FmtkrSP-lFcfOsC8,2409
ggplotly/geoms/geom_stl.py,sha256=FZVu13LWMdlCVNT2dVRicLO4iO6YLktgH-NBxKH85iU,5026
ggplotly/geoms/geom_surface.py,sha256=s7T2rYdYVzQ0GNYuHyVO3yFyfzG_L7uNKDRIQJJIhJc,10825
ggplotly/geoms/geom_text.py,sha256=DdhUj7o4IL0IUmDmj0akmJpy91GBg2W-CTLfm4gfVto,8860
ggplotly/geoms/geom_tile.py,sha256=7cZQCw1vfiB6JulY1E-kugkKWqc-BS5iLwJT2kqYxK4,3091
ggplotly/geoms/geom_violin.py,sha256=9kvV2Udv8ZRoCcbR6rvH9pTR_EzR-1l64DagPN7EChg,1428
ggplotly/geoms/geom_vline.py,sha256=-FOknF1LnCP1Q5jvhAyUcX8ZZ9pTvQfuHiYn3vhA_M0,2179
ggplotly/geoms/geom_waterfall.py,sha256=dJpTDM8uY5uBBDuJes_Wwqo-aYwsHvLQ0yjdXOXNHhA,7400
ggplotly/scales/__init__.py,sha256=4pzywdSqJpwK4VIig0rUQ3IFLe-cpKZldxiZhOr7qvY,1436
ggplotly/scales/scale_base.py,sha256=NdAsebOnbY0CwuSIYYU3fnOl5kvIBB5hMBRzGs5Z44M,6176
ggplotly/scales/scale_color_brewer.py,sha256=oFaUuCW3HY8xvT883du-TqpDv7r2sXC4nP-WJ5BR0G0,6247
ggplotly/scales/scale_color_gradient.py,sha256=11mEWguK7GIzCW5uWllfAEjoIRxmtyheOB0rUYH11Uk,6291
ggplotly/scales/scale_color_manual.py,sha256=7P2uAR2Q0_GiZTdcGG7e8D39ZC0Iy8J5YBnzeVEjvZE,1022
ggplotly/scales/scale_fill_brewer.py,sha256=85kiRR20CdIG8pMxQwGn6pK1ukRUFstT-1jIjNTu3t0,6247
ggplotly/scales/scale_fill_gradient.py,sha256=6hYrlMgU5x_P8purvzVaSRew32G5U3SOCS5rS7Ok7QA,1400
ggplotly/scales/scale_fill_manual.py,sha256=huN-CoHK6jy4TX2HpSViLPJU5dhtJpH8dK-EGAAxgU8,3806
ggplotly/scales/scale_fill_viridis.py,sha256=0SIWTY6HOduEy6VW5nU1POVz_gkubUAr8oaa2ajUJRw,1415
ggplotly/scales/scale_shape_manual.py,sha256=X_SQ8PEEBaqknJshsDqu0SwKqUScTq8VyFXPf8cTiYY,2643
ggplotly/scales/scale_size.py,sha256=UoYz6M590ypVedwMGr2ZKE6MFCtui1GxPhXy0MlINwI,1974
ggplotly/scales/scale_x_continuous.py,sha256=2kL9gc8YUR-U2W0pjzrbJKRMSPWhuobd6GwxqNlGKXs,7161
ggplotly/scales/scale_x_date.py,sha256=ste8_mW_6L2StYhYmQwpR_bRz4idIIzplDcffpOOenM,6655
ggplotly/scales/scale_x_log10.py,sha256=ky3zaiK2OvlTn6gS2Y-OZ9jUfcu_habSnwJxkw2r3ho,3505
ggplotly/scales/scale_x_rangeselector.py,sha256=kSGLKzKgWTuHLiMkOkRcYxKeveAYQu9fqxNFbTmqEyY,6065
ggplotly/scales/scale_x_rangeslider.py,sha256=nydhs6YKwIQgAO2h4lxhKKF82doXAIopjfjJFZEL8sA,3505
ggplotly/scales/scale_x_reverse.py,sha256=Q24KTORwdmbGqtiCr8BktCjX98oXppgfa_2xKcJjJqI,3705
ggplotly/scales/scale_y_continuous.py,sha256=DXp9IAYa0GhefuWL982b5heP6Geaao_vbcm-xVt8ZKI,1972
ggplotly/scales/scale_y_log10.py,sha256=sZqfI7AHkRu6cGYzjsCTIkfszQ0m9Y-PegEPuBDb25E,3500
ggplotly/scales/scale_y_reverse.py,sha256=FJRfFa89u-teypn7OVJgruOMlXHOUEhDT6do1IHH2-M,3878
ggplotly/stats/__init__.py,sha256=1Zd1LyUeYMgGMEHwtkKWi-XRMGMUA0Gmw26l_10hqxo,734
ggplotly/stats/stat_base.py,sha256=uOwKRBaTSP6rl0NdlE35xD-3HSRzCGoD0_nO-R_lln0,3367
ggplotly/stats/stat_bin.py,sha256=vwZVEk2FtzvllaHjclmsiPBLzQOldMSlItzEIhIAI_o,7851
ggplotly/stats/stat_contour.py,sha256=MWx_shTSfxwnWMTvLV-KCfTQ6xE3SlT0k6FvCfs-7rg,11974
ggplotly/stats/stat_count.py,sha256=3UxKUJx4vapXDMigeiwJh5Im2ifOM7Y1GYRWl5xX3Kc,2853
ggplotly/stats/stat_density.py,sha256=Ghkwg04ilJwoiGblj3u90DNLvdr1j9SpF0OIa-hO1H4,8010
ggplotly/stats/stat_ecdf.py,sha256=h-WSpX-XW4tv0VVsvfDSc2Lb74JCUfdJLLC31CqbkPo,3301
ggplotly/stats/stat_edgebundle.py,sha256=uoh7Abq85cIAO-9OWa_9kGDhu3eHhj2t9BCncxzrw6A,22240
ggplotly/stats/stat_fanchart.py,sha256=17REUBMojYwaYHkTRaRIwFR0u2UHKWArp_hxwr2DKNI,2792
ggplotly/stats/stat_function.py,sha256=yss-EAbJ3l_PgxdhBS5_4vlNR-2KlVsfAIInzESTUWE,3221
ggplotly/stats/stat_identity.py,sha256=SkCJcMz3cctntuFcK0gvsLGT5DetUrkpXhfwf2cQc-A,1291
ggplotly/stats/stat_qq.py,sha256=XI-ogMJ7dOe5FjXf1nd6Fonvkyf1RPw8xGPqxqdyYOY,3420
ggplotly/stats/stat_qq_line.py,sha256=4HV94XfY21ZQLg_nqTUUqDxv0coL25SF3kxNDW_LCWw,4344
ggplotly/stats/stat_smooth.py,sha256=nx-LLnPeucXVnDiiBIOskZwTw7MCQD4-kAxvzF39LR8,14466
ggplotly/stats/stat_stl.py,sha256=YbE--4EoEqlrhoXkhleDdb9n-zZAtB4yXwvGzfsnj0o,3711
ggplotly/stats/stat_summary.py,sha256=ULm1uxNioTce8gxR6L9l8bYDMxM2vXueuIZ97HQLzGo,8532
ggplotly-0.4.1.dist-info/licenses/LICENSE,sha256=zbKxAN6-lilid7XKf1eLemmNQDabhh5ezv0OChEUOZc,1064
ggplotly-0.4.1.dist-info/METADATA,sha256=DLMjjCxzIsJGuXVIA__VqfpO6YNuuzQqMM2aeru23xg,9086
ggplotly-0.4.1.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
ggplotly-0.4.1.dist-info/top_level.txt,sha256=4plJ8_EMt2OzK7931h_9xmQgwIjlr8u0-Dmso7Sb8Iw,9
ggplotly-0.4.1.dist-info/RECORD,,
