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Plotly auto-sets the axis type to a date format when the corresponding data are either ISO-formatted date strings or if they're a date pandas column or datetime NumPy array. # Using plotly.express import plotly.express as px df = px.data.stocks() fig = px.line(df, x='date', y="GOOG") fig.show()

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Hi there, How can I format 'text' to a dollar amount (or anything else) in R?. Even though my 'real' data is already formatted as $, once I do hoverinfo='x+text' in the add_trace function, it loses the formatting.Hoverformat = "$,f" in the layout function didn't help as well. Thanks! Here is the reproducible example in R for the stacked area plot:

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If the axis type is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set dtick to 86400000.0. "date" also has special values "M<n>" gives ticks spaced by a number of months. n must be a positive integer.

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But also data that is computed on-the-fly by plotly.js, like the bin widths: trace.hovertemplate = 'The number of people between the age of {binleft} and {binright} is {bintotal}.' This means you could express the existing box and violin text with some type of hovertemplate. This could span across traces, like the hover data on stacked bars

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Nov 14, 2018 · It contains player points, rebounds, assists, starts and etc. I create this visualization by building it in Plotly, based on an initial Python plot created using Matplotlib. I wanted to explore using Plotly cause I thought it would be cool for the user to be able to hover over the data to see how players improved or declined over time.

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Hello, I couldn't seem to find this in the docs. Is it possible to format hover_data as a string for display purposes only? My use case comes from displaying dollar amounts, but the original data is float.64 so hovering over a data point does not look appealing.. My current fix requires an extra column to be added to a data frame, then that column is passed to the hover_data argument:

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Anyone that obtained a MIT license for commercial use before v2.2.0 (24th March 2017) may continue to use Hover.css versions prior to v2.2.0 under that same license. If you'd like to upgrade to v2.2.0 or above, or would like to simply show your support for Hover.css (we'd much appreciate it!), please purchase an up-to-date commercial license.

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Hello, I couldn't seem to find this in the docs. Is it possible to format hover_data as a string for display purposes only? My use case comes from displaying dollar amounts, but the original data is float.64 so hovering over a data point does not look appealing.. My current fix requires an extra column to be added to a data frame, then that column is passed to the hover_data argument:

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Plotly formats date automatically. ... similar to plotly_hover) assessing the new range after a zoom and call Plotly.relayout('graph', 'xaxis ... 15, 2015. I know that this can be hard to generalize but I was wondering why default behavior produces things like full date in the first tick and hour format like "09h" which is not what an average ...
Plotly auto-sets the axis type to a date format when the corresponding data are either ISO-formatted date strings or if they're a date pandas column or datetime NumPy array. # Using plotly.express import plotly.express as px df = px.data.stocks() fig = px.line(df, x='date', y="GOOG") fig.show()
Let’s investigate this a bit further and look for a trend in average monthly claims by creating a series of faceted density plots. Notice how we can use str_glue() to pass in the dates for the subtitle, a nice trick learned from a Business Science Learning Lab that I use in almost all my plots now, either for titles, subtitles or hover text in plotly.
See full list on doyouevendata.github.io
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Below is our modern version. Moscow is represented by the switch in the middle. The blue line shows temperature along the y-axis on the right. The bottom x-axes show dates and distance. We can also use a custom date format. Hover your mouse reveal data. This interactivity is brought to you by D3.js, the graphing library Plotly uses.
Technology is created, then it gets old, then new technology is created. That technology also gets old, and then something brand new is presented to audiences at tech shows and fancy get-togethers around the world. Among the audiences you will hear.. for ser in fig ['data']: ser ['text']=list (set ( [d.strftime ('%Y-%m-%d') for d in df ['dates']])) ser ['hovertemplate']='category=open<br>dates=% {text}<br>price=% {y}<extra></extra>' fig.show () The reason why ser ['text'] is so messy is that the resulting figure displays unique dates on the x-axis.