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1 | 1 | # A Julia interface to the plot.ly API |
2 | 2 |
|
3 | | -[](https://travis-ci.org/snotskie/Plotly.jl) |
4 | | - |
5 | | -Forked from [astrieanna/Plotly.jl](https://github.com/astrieanna/Plotly.jl) |
| 3 | +[](https://travis-ci.org/plotly/Plotly-Julia) |
6 | 4 |
|
7 | 5 | README quickly to get started. Alternately, checkout out the pretty Julia docs at http://plot.ly/api |
8 | 6 |
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@@ -30,7 +28,7 @@ julia> Plotly.signup("username","email") |
30 | 28 | Success! Check your email to activate account. |
31 | 29 | ``` |
32 | 30 |
|
33 | | -## Signin |
| 31 | +## Signin |
34 | 32 | ```julia |
35 | 33 | julia> Plotly.signin("username","your api key") |
36 | 34 | PlotlyAccount("username","your api key") |
@@ -78,7 +76,7 @@ julia> Plotly.plot([x, 2x, 3x^2-x]) |
78 | 76 | ``` |
79 | 77 |
|
80 | 78 | Using the Polynomial package, you can plot polynomials directly the same way as math functions. |
81 | | - |
| 79 | + |
82 | 80 | ## DataFrames and TimeSeries |
83 | 81 | ```julia |
84 | 82 | julia> using DataFrames |
@@ -129,7 +127,7 @@ julia> trace1 = Plotly.line(3x^3 + 2x^2 - x + 1) |
129 | 127 | julia> trace2 = Plotly.histogram(3x^3 + 2x^2 - x + 1) |
130 | 128 | julia> Plotly.plot([trace1, trace2]) |
131 | 129 | ``` |
132 | | - |
| 130 | + |
133 | 131 | ## DataFrames and TimeSeries |
134 | 132 | ```julia |
135 | 133 | julia> using DataFrames |
@@ -158,4 +156,4 @@ julia> trace2 = Plotly.histogram(wavread("filename.wav")) |
158 | 156 | julia> trace3 = Plotly.box(wavread("filename.wav")) |
159 | 157 | julia> trace4 = Plotly.scatter(wavread("filename.wav")) |
160 | 158 | julia> Plotly.plot([trace1, trace2, trace3, trace4]) |
161 | | -``` |
| 159 | +``` |
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