markers

Google maps api dot marker

我是研究僧i 提交于 2020-08-01 12:19:28
问题 Currently I use a StyledMarker icon (the default bubble icon with custom colors), but I've seen that some sites use the more compact "dot" (picture of dot marker). My question is if it is possbile to replace the default bubble marker with the dot using StyledMarker? If not, how can I solve it (by the way the solution must allow dynamic coloring of the dots)? 回答1: You can declare the marker icon to be a symbol and customize it accordingly. new google.maps.Marker({ map: map, position: map

Google maps api dot marker

最后都变了- 提交于 2020-08-01 12:19:08
问题 Currently I use a StyledMarker icon (the default bubble icon with custom colors), but I've seen that some sites use the more compact "dot" (picture of dot marker). My question is if it is possbile to replace the default bubble marker with the dot using StyledMarker? If not, how can I solve it (by the way the solution must allow dynamic coloring of the dots)? 回答1: You can declare the marker icon to be a symbol and customize it accordingly. new google.maps.Marker({ map: map, position: map

How to change the shape of the marker depending on a column variable?

爷,独闯天下 提交于 2020-05-26 09:39:06
问题 I am trying to create a scatter plot for a csv file in python which contains 4 columns x , y , TL , L . I am supposed to plot x versus y and change the color of the marker based on the class ID in the TL column which I have achieved in the below code. import pandas as pd from matplotlib import pyplot as plt import numpy as np df=pd.read_csv('knnDataSet.csv') df.columns=['SN','x','y','TL','L'] color=['red','green','blue'] groups = df.groupby('TL') fig, ax = plt.subplots() for name, group in

How to change the shape of the marker depending on a column variable?

别说谁变了你拦得住时间么 提交于 2020-05-26 09:39:05
问题 I am trying to create a scatter plot for a csv file in python which contains 4 columns x , y , TL , L . I am supposed to plot x versus y and change the color of the marker based on the class ID in the TL column which I have achieved in the below code. import pandas as pd from matplotlib import pyplot as plt import numpy as np df=pd.read_csv('knnDataSet.csv') df.columns=['SN','x','y','TL','L'] color=['red','green','blue'] groups = df.groupby('TL') fig, ax = plt.subplots() for name, group in

How to get SSML <mark> timestamps from Google Cloud text-to-speech API

只谈情不闲聊 提交于 2020-05-10 03:20:06
问题 I want to use SSML markers through the Google Cloud text-to-speech API to request the timing of these markers in the audio stream. These timestamps are necessary in order to provide cues for effects, word/section highlighting and feedback to the user. I found this question which is relevant, although the question refers to the timestamps for each word and not the SSML <mark> tag. The following API request returns OK but shows the lack of the requested marker data. This is using the Cloud Text

Is it possible to put track markers in between tracks in one large audio file so that an audio player will treat the file as a CD?

前提是你 提交于 2020-03-23 10:20:31
问题 Here's what I mean: I have several songs stored as individual mp3 files. I have amalgamated them into one large mp3 file. When I play the file with VLC or any other piece of audio player software, the entire file just plays from start to finish as expected. If I press the "next track" button, the right facing arrow next to a vertical line, the player software just starts the entire file from the beginning again. What I want to do is put some kind of marker in between the individual tracks so

Is it possible to put track markers in between tracks in one large audio file so that an audio player will treat the file as a CD?

╄→гoц情女王★ 提交于 2020-03-23 10:19:09
问题 Here's what I mean: I have several songs stored as individual mp3 files. I have amalgamated them into one large mp3 file. When I play the file with VLC or any other piece of audio player software, the entire file just plays from start to finish as expected. If I press the "next track" button, the right facing arrow next to a vertical line, the player software just starts the entire file from the beginning again. What I want to do is put some kind of marker in between the individual tracks so

Markers are not visible in seaborn plot

£可爱£侵袭症+ 提交于 2020-01-24 09:23:31
问题 Here is an example: import seaborn as sns ax = sns.lineplot(range(10), range(10), markers=True) Why aren't there any markers although I set markers=True ? 回答1: Basically, because that's not what markers= is for. As per the documentation: markers : boolean, list, or dictionary, optional Object determining how to draw the markers for different levels of the style variable. Setting to True will use default markers, or you can pass a list of markers or a dictionary mapping levels of the style

Scatterplot Marker Size proportional to axis value - why is the number of pixels for the x and y axis different for aspect='equal'?

二次信任 提交于 2020-01-23 11:45:29
问题 My question is as far as I see closely related to this post. I need to plot some data with marker size strictly proportional to the value of the axes. (Already asked the question here). My approach is the following: Create empty scatterplot for pixel reference Scatter 2 points on the lower left and upper right corner Limit the axes to exactly these two points use transData.transform to get the pixel values of those two points get the pixel distance as the difference in pixel number of these

Scatterplot Marker Size proportional to axis value - why is the number of pixels for the x and y axis different for aspect='equal'?

此生再无相见时 提交于 2020-01-23 11:45:29
问题 My question is as far as I see closely related to this post. I need to plot some data with marker size strictly proportional to the value of the axes. (Already asked the question here). My approach is the following: Create empty scatterplot for pixel reference Scatter 2 points on the lower left and upper right corner Limit the axes to exactly these two points use transData.transform to get the pixel values of those two points get the pixel distance as the difference in pixel number of these